{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-3-07ebd69ce8f4>:3: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  users = pd.read_table(r'./users.dat', sep='::', header=None, names=unames)\n",
      "<ipython-input-3-07ebd69ce8f4>:6: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  ratings=pd.read_table(r'./ratings.dat',sep='::',header=None, names=rnames)\n",
      "<ipython-input-3-07ebd69ce8f4>:9: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  movies = pd.read_table(r'./movies.dat',sep='::',header=None, names=mnames)\n"
     ]
    }
   ],
   "source": [
    "pd.options.display.max_rows=10  #分块读取，让展示内容少一点\n",
    "unames = list(str.split('UserID::Gender::Age::Occupation::Zip-code',\"::\"))\n",
    "users = pd.read_table(r'./users.dat', sep='::', header=None, names=unames)\n",
    "\n",
    "rnames = list(str.split('UserID::MovieID::Rating::Timestamp','::'))\n",
    "ratings=pd.read_table(r'./ratings.dat',sep='::',header=None, names=rnames)\n",
    "\n",
    "mnames = list(str.split('MovieID::Title::Genres',\"::\"))\n",
    "movies = pd.read_table(r'./movies.dat',sep='::',header=None, names=mnames)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.merge(users,ratings)\n",
    "data = pd.merge(data,movies)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 平均分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>$1,000,000 Duck (1971)</th>\n",
       "      <td>3.375000</td>\n",
       "      <td>2.761905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>'Night Mother (1986)</th>\n",
       "      <td>3.388889</td>\n",
       "      <td>3.352941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <td>2.675676</td>\n",
       "      <td>2.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>'burbs, The (1989)</th>\n",
       "      <td>2.793478</td>\n",
       "      <td>2.962085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...And Justice for All (1979)</th>\n",
       "      <td>3.828571</td>\n",
       "      <td>3.689024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zed &amp; Two Noughts, A (1985)</th>\n",
       "      <td>3.500000</td>\n",
       "      <td>3.380952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero Effect (1998)</th>\n",
       "      <td>3.864407</td>\n",
       "      <td>3.723140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero Kelvin (Kj鎟lighetens kj鴗ere) (1995)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeus and Roxanne (1997)</th>\n",
       "      <td>2.777778</td>\n",
       "      <td>2.357143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eXistenZ (1999)</th>\n",
       "      <td>3.098592</td>\n",
       "      <td>3.289086</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3706 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                           F         M\n",
       "Title                                                       \n",
       "$1,000,000 Duck (1971)                    3.375000  2.761905\n",
       "'Night Mother (1986)                      3.388889  3.352941\n",
       "'Til There Was You (1997)                 2.675676  2.733333\n",
       "'burbs, The (1989)                        2.793478  2.962085\n",
       "...And Justice for All (1979)             3.828571  3.689024\n",
       "...                                            ...       ...\n",
       "Zed & Two Noughts, A (1985)               3.500000  3.380952\n",
       "Zero Effect (1998)                        3.864407  3.723140\n",
       "Zero Kelvin (Kj鎟lighetens kj鴗ere) (1995)       NaN  3.500000\n",
       "Zeus and Roxanne (1997)                   2.777778  2.357143\n",
       "eXistenZ (1999)                           3.098592  3.289086\n",
       "\n",
       "[3706 rows x 2 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ratings = data.pivot_table(values='Rating',index='Title',columns='Gender',aggfunc='mean')\n",
    "mean_ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 不同性别最爱"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 筛选"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title\n",
       "$1,000,000 Duck (1971)                       37\n",
       "'Night Mother (1986)                         70\n",
       "'Til There Was You (1997)                    52\n",
       "'burbs, The (1989)                          303\n",
       "...And Justice for All (1979)               199\n",
       "                                           ... \n",
       "Zed & Two Noughts, A (1985)                  29\n",
       "Zero Effect (1998)                          301\n",
       "Zero Kelvin (Kj鎟lighetens kj鴗ere) (1995)      2\n",
       "Zeus and Roxanne (1997)                      23\n",
       "eXistenZ (1999)                             410\n",
       "Length: 3706, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_by_title = data.groupby('Title').size()\n",
    "ratings_by_title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([''burbs, The (1989)', '10 Things I Hate About You (1999)',\n",
       "       '101 Dalmatians (1961)', '101 Dalmatians (1996)', '12 Angry Men (1957)',\n",
       "       '13th Warrior, The (1999)', '2 Days in the Valley (1996)',\n",
       "       '20,000 Leagues Under the Sea (1954)', '2001: A Space Odyssey (1968)',\n",
       "       '2010 (1984)',\n",
       "       ...\n",
       "       'X-Men (2000)', 'Year of Living Dangerously (1982)',\n",
       "       'Yellow Submarine (1968)', 'You've Got Mail (1998)',\n",
       "       'Young Frankenstein (1974)', 'Young Guns (1988)',\n",
       "       'Young Guns II (1990)', 'Young Sherlock Holmes (1985)',\n",
       "       'Zero Effect (1998)', 'eXistenZ (1999)'],\n",
       "      dtype='object', name='Title', length=1216)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "active_titles = ratings_by_title.index[ratings_by_title>=250]\n",
    "active_titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Slumber Party Massacre III, The (1990)</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Circus (2000)</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wirey Spindell (1999)</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sixth Man, The (1997)</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.647059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prom Night III: The Last Kiss (1989)</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.538462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>With Friends Like These... (1998)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wooden Man's Bride, The (Wu Kui) (1994)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year of the Horse (1997)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zachariah (1971)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero Kelvin (Kj鎟lighetens kj鴗ere) (1995)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3706 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                      F         M\n",
       "Title                                                  \n",
       "Slumber Party Massacre III, The (1990)    1.0  2.000000\n",
       "Circus (2000)                             1.0  2.000000\n",
       "Wirey Spindell (1999)                     1.0  1.000000\n",
       "Sixth Man, The (1997)                     1.0  2.647059\n",
       "Prom Night III: The Last Kiss (1989)      1.0  1.538462\n",
       "...                                       ...       ...\n",
       "With Friends Like These... (1998)         NaN  4.000000\n",
       "Wooden Man's Bride, The (Wu Kui) (1994)   NaN  3.000000\n",
       "Year of the Horse (1997)                  NaN  3.250000\n",
       "Zachariah (1971)                          NaN  3.500000\n",
       "Zero Kelvin (Kj鎟lighetens kj鴗ere) (1995)  NaN  3.500000\n",
       "\n",
       "[3706 rows x 2 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_female_ratings = mean_ratings.sort_values(by='F',ascending='False')\n",
    "top_female_ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 女性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title\n",
       "Schlafes Bruder (Brother of Sleep) (1995)    5.0\n",
       "Small Wonders (1996)                         5.0\n",
       "Gate of Heavenly Peace, The (1995)           5.0\n",
       "Baby, The (1973)                             5.0\n",
       "Ulysses (Ulisse) (1954)                      5.0\n",
       "Dangerous Game (1993)                        5.0\n",
       "Angela (1995)                                5.0\n",
       "Bells, The (1926)                            5.0\n",
       "Smashing Time (1967)                         5.0\n",
       "Follow the Bitch (1998)                      5.0\n",
       "Name: M, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_female_ratings = mean_ratings.sort_values(by='F', ascending=False)\n",
    "top_female_ratings\n",
    "\n",
    "top_male_ratings = mean_ratings.sort_values(by='M', ascending=False)\n",
    "top_male_ratings\n",
    "\n",
    "top_female_ratings10 = top_female_ratings['F'][:10] \n",
    "top_female_ratings10\n",
    "\n",
    "top_male_ratings10 = top_male_ratings['M'][:10] \n",
    "top_male_ratings10\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Nueba Yol (1995)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elstree Calling (1930)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hillbillys in a Haunted House (1967)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Theodore Rex (1995)</th>\n",
       "      <td>3.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fantastic Night, The (La Nuit Fantastique) (1949)</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Soft Toilet Seats (1999)</th>\n",
       "      <td>3.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Song of Freedom (1936)</th>\n",
       "      <td>5.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Talk of Angels (1998)</th>\n",
       "      <td>2.50</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Target (1995)</th>\n",
       "      <td>4.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wedding Bell Blues (1996)</th>\n",
       "      <td>3.25</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3706 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                                F    M\n",
       "Title                                                       \n",
       "Nueba Yol (1995)                                    NaN  1.0\n",
       "Elstree Calling (1930)                              NaN  1.0\n",
       "Hillbillys in a Haunted House (1967)                NaN  1.0\n",
       "Theodore Rex (1995)                                3.00  1.0\n",
       "Fantastic Night, The (La Nuit Fantastique) (1949)   NaN  1.0\n",
       "...                                                 ...  ...\n",
       "Soft Toilet Seats (1999)                           3.00  NaN\n",
       "Song of Freedom (1936)                             5.00  NaN\n",
       "Talk of Angels (1998)                              2.50  NaN\n",
       "Target (1995)                                      4.00  NaN\n",
       "Wedding Bell Blues (1996)                          3.25  NaN\n",
       "\n",
       "[3706 rows x 2 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_male_ratings = mean_ratings.sort_values(by='M',ascending='False')\n",
    "top_male_ratings\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.pyplot as plt # 制图\n",
    "import seaborn as sns\n",
    "from matplotlib import rcParams # 参数\n",
    "from matplotlib.cm import rainbow # 颜色\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '最受女性欢迎的十部电影及其评分')"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['font.size'] = 20\n",
    "plt.rcParams['font.sans-serif']=['FangSong'] #用来正常显示中文标签\n",
    "sns.barplot(top_female_ratings10.values, top_female_ratings10.index,palette=\"plasma\",alpha=0.25)\n",
    "plt.xlabel('评分')\n",
    "plt.ylabel('电影名')\n",
    "plt.title('最受女性欢迎的十部电影及其评分', {'fontsize': rcParams['axes.titlesize']})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '最受男性欢迎的十部电影及其评分')"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['font.size'] = 20\n",
    "plt.rcParams['font.sans-serif']=['FangSong'] #用来正常显示中文标签\n",
    "sns.barplot(top_male_ratings10.values, top_male_ratings10.index,palette=\"Blues_r\",alpha=1)\n",
    "plt.xlabel('评分')\n",
    "plt.ylabel('电影名')\n",
    "plt.title('最受男性欢迎的十部电影及其评分', {'fontsize': rcParams['axes.titlesize']})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 到性别差异最大的top10电影"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Close Shave, A (1995)',\n",
       " \"Schindler's List (1993)\",\n",
       " 'Shawshank Redemption, The (1994)',\n",
       " 'Usual Suspects, The (1995)',\n",
       " 'Wrong Trousers, The (1993)'}"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = set(top_female_ratings10.index) # 女性\n",
    "b = set(top_male_ratings10.index) # 男性\n",
    "a & b # 交集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Usual Suspects, The (1995)</th>\n",
       "      <td>4.513317</td>\n",
       "      <td>4.518248</td>\n",
       "      <td>0.004931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schindler's List (1993)</th>\n",
       "      <td>4.562602</td>\n",
       "      <td>4.491415</td>\n",
       "      <td>0.071187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Close Shave, A (1995)</th>\n",
       "      <td>4.644444</td>\n",
       "      <td>4.473795</td>\n",
       "      <td>0.170650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wrong Trousers, The (1993)</th>\n",
       "      <td>4.588235</td>\n",
       "      <td>4.478261</td>\n",
       "      <td>0.109974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shawshank Redemption, The (1994)</th>\n",
       "      <td>4.539075</td>\n",
       "      <td>4.560625</td>\n",
       "      <td>0.021550</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                   F         M      diff\n",
       "Title                                                         \n",
       "Usual Suspects, The (1995)        4.513317  4.518248  0.004931\n",
       "Schindler's List (1993)           4.562602  4.491415  0.071187\n",
       "Close Shave, A (1995)             4.644444  4.473795  0.170650\n",
       "Wrong Trousers, The (1993)        4.588235  4.478261  0.109974\n",
       "Shawshank Redemption, The (1994)  4.539075  4.560625  0.021550"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ratings.loc[a&b]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.569535</td>\n",
       "      <td>4.504469</td>\n",
       "      <td>0.075658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.050243</td>\n",
       "      <td>0.035852</td>\n",
       "      <td>0.067363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.513317</td>\n",
       "      <td>4.473795</td>\n",
       "      <td>0.004931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.539075</td>\n",
       "      <td>4.478261</td>\n",
       "      <td>0.021550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.562602</td>\n",
       "      <td>4.491415</td>\n",
       "      <td>0.071187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.588235</td>\n",
       "      <td>4.518248</td>\n",
       "      <td>0.109974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.644444</td>\n",
       "      <td>4.560625</td>\n",
       "      <td>0.170650</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender         F         M      diff\n",
       "count   5.000000  5.000000  5.000000\n",
       "mean    4.569535  4.504469  0.075658\n",
       "std     0.050243  0.035852  0.067363\n",
       "min     4.513317  4.473795  0.004931\n",
       "25%     4.539075  4.478261  0.021550\n",
       "50%     4.562602  4.491415  0.071187\n",
       "75%     4.588235  4.518248  0.109974\n",
       "max     4.644444  4.560625  0.170650"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intersection = mean_ratings.loc[a&b]\n",
    "intersection.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '性别差异最大的top10电影')"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.tight_layout()\n",
    "mean_ratings['diff'] = np.abs(mean_ratings['M'] - mean_ratings['F'])\n",
    "sorted_by_diff = mean_ratings.sort_values(by='diff', ascending=False)[:10].copy()\n",
    "sorted_by_diff.plot.barh()\n",
    "\n",
    "plt.legend(prop={'size':8}, loc='center')\n",
    "plt.xlabel('电影名')\n",
    "plt.ylabel('评分')\n",
    "plt.title('性别差异最大的top10电影', {'fontsize': rcParams['axes.titlesize']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  "language_info": {
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    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
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  "toc": {
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   "nav_menu": {},
   "number_sections": true,
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
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  "varInspector": {
   "cols": {
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   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
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     "delete_cmd_postfix": ") ",
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   "types_to_exclude": [
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